Project

# Title Team Members TA Documents Sponsor
91 Automatic Bike Collision Prevention System
 Charlie Wang
Nathan Zhu
Rahul Nayak
 Frey Zhao design_document1.pdf
final_paper1.pdf
presentation1.pptx
proposal1.pdf
video
# Automatic Bike Collision Prevention System

Team Members:
- Rahul Nayak (rn8)
- Charlie Wang (cgwang3)
- Nathan Zhu (nyzhu2)

# Problem

Active pathways like campus sidewalks create high risk scenarios for cyclists and passerby due to oblivious pedestrians and distracted riding. Traditional bicycle bells are reactive rather than proactive, requiring both the cyclist to recognize a potential collision and react by ringing the bell, and pedestrians to acknowledge the bell and move out of the way. The total time to prevent collision can be lengthened if the cyclist’s reaction time was not a consideration. As such, there is a need for an automated alert system that is able to identify and distinguish potential collision hazards before they occur.

# Solution

We will create a handlebar-mounted safety system using three mmWave radar sensors to act as a peripheral vision of sorts. The sensors will be set up such that we have a center sensor, and left and right sensors. The system performs spatial gating, where detections transitioning from peripheral radar sectors into the forward sector are classified as hazards, while detections only in the peripheral radar sectors are ignored. We estimate a time to collision depending on the current distance detected and the distance from past readings, and ring the bell at different volumes accordingly.

# Solution Components

## Subsystem 1: Power

Provide regulated power and system status feedback.

Components:

- Li-ion 18650 Battery: High capacity power source.
- Buck-Boost Converter: Stable 5V/3.3V regulation.
- Status LEDs: Indicators to indicate if the system is on, sensitivity level, and if an object is detected.
- Sensitivity Potentiometer: Allows the rider to adjust the magnitude threshold for different environments.

## Subsystem 2: Radar Sensor Array

Function: Detect object distance.

Components:

- Three HLK-LD2410 24GHz mmWave Radar Modules
- Configuration: 1 center (0°), 2 side angled (30°)
- To create distinct sensors, small 3D printed shields will be set to limit field of view and prevent cross-talking.
- This triangular configuration allows for section-based filtering.
- Due to limited UARTs on the ESP32, the radars should be checked one at a time in a very fast, cyclical manner, which would also help prevent crosstalking.

## Subsystem 3: Processing

Function: Filter noise and determine collision likeliness.

Components:
- ESP32 Microcontroller: UART connection with Radar sensors
- Magnitude thresholding: Ignore low energy reflections such as from pavement or small non-collision objects.
- Time-To-Collision algorithm: Estimate how long it will take until a collision occurs.

## Subsystem 4: Alert System

Function: Create a gradually audible ringing sound depending on the expected collision time.

Components:
- Piezo Buzzer (PS1240): Use Pulse Width Modulation to increase beep frequency
- Three alert stages

# Criterion For Success

The project will be considered successful if all criteria below are met:
- Range performance: Reliably detect objects from 5 meters away.
- Low latency: Detection to audio output is less than 150ms.
- Form factor: Device is compact enough to mount on handlebars.
- False-positive mitigation: Thresholding prevents alarm from triggering for ground objects and other non hazards.
- Peripheral vision: Device is able to detect objects in peripheral vision and keep track of these objects moving into the sight of the center sensor.
- Battery life: Battery should last at least 8 hours on a single charge.

BarPro Weightlifting Aid Device

Patrick Fejkiel, Grzegorz Gruba, Kevin Mienta

Featured Project

Patrick Fejkiel (pfejki2), Kevin Mienta (kmient2), Grzegorz Gruba (ggruba2)

Title: BarPro

Problem: Many beginner weightlifters struggle with keeping the barbell level during lifts. Even seasoned weightlifters find their barbells swaying to one side sometimes. During heavy lifts, many people also struggle with full movements after a few repetitions.

Solution Overview: BarPro is a device that straps on to a barbell and aids the lifter with keeping the barbell level, maintaining full repetitions and keeping track of reps/sets. It keeps track of the level of the barbell and notifies the lifter with a sound to correct the barbell positioning when not level. The lifter can use the device to calibrate their full movement of the repetition before adding weight so that when heavy weight is applied, the device will use data from the initial repetition to notify the lifter with a sound if they are not lifting or lowering the barbell all the way during their lift. There will be an LCD screen or LEDs showing the lifter the amount of repetitions/sets that they have completed.

Solution Components:

Subsystem #1 - Level Sensor: An accelerometer will be used to measure the level of the barbell. If an unlevel position is measured, a speaker will beep and notify the lifter.

Subsystem #2 - Full Repetition Sensor: An ultrasonic or infrared distance sensor will be used to measure the height of the barbell from the ground/body during repetitions. The sensor will first be calibrated by the lifter during a repetition with no weight, and then that calibration will be used to check if the lifter is having their barbell reach the calibrated maximum and minimum heights.

Subsystem #3 - LED/LCD Rep/Sets Indicator: LEDs or a LCD screen will be used to display the reps/sets from the data measured by the accelerometer.

Criterion for Success: Our device needs to be user friendly and easily attachable to the barbell. It needs to notify the lifter with sounds and LEDs/LCD display when their barbell is not level, when their movements are not fully complete, and the amount of reps/sets they have completed. The device needs to work smoothly, and testing/calibrating will need to be performed to determine the minimum/maximum values for level and movement positioning.